Don Cressey 1919-1987 by Nils Christie

“…In memory of Don Cressey…”
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Deteksi Covid-19 pada Citra Sinar-X Dada Menggunakan Deep Learning yang Efisien by Novanto Yudistira, Agus Wahyu Widodo, Bayu Rahayudi

“…Model deep CNN dapat melakukan deteksi dengan akurat namun cenderung memerlukan penggunaan memori yang besar. CNN dengan parameter yang lebih sedikit dapat menghemat storage maupun penggunaan memori sehingga dapat berproses secara real time baik berupa alat pendeteksi maupun sistem pengambilan keputusan via cloud. …”
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Mindeord - Højesteretssagfører Jon Palle Buhl, død 4. februar 2007 by William Rentzmann

“…In memory of Jon Palle Buhl…”
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Erik Solem død by Johs Andenæs

“…In the memory of Eric Solem…”
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Antti Tulenheimo by Brynolf Honkasalo

“…In memory of Antti Tulenheimo…”
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In memoriam Ivar Strahl 1899-1987 by Alvar Nelson

“…In memory of Ivar Strahl…”
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Jon Skeie by Andr. Aulie

“…In memory of Jon Skeie…”
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Mindeord - Knud Waaben (1921-2008) by William Rentzmann

“…In memory of Knud Waaben (1921-2008)…”
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Distinct changes to hippocampal and medial entorhinal circuits emerge across the progression of cognitive deficits in epilepsy by Yu Feng, Keziah S. Diego, Zhe Dong, Zoé Christenson Wick, Lucia Page-Harley, Veronica Page-Harley, Julia Schnipper, Sophia I. Lamsifer, Zachary T. Pennington, Lauren M. Vetere, Paul A. Philipsberg, Ivan Soler, Albert Jurkowski, Christin J. Rosado, Nadia N. Khan, Denise J. Cai, Tristan Shuman

“…Summary: Temporal lobe epilepsy (TLE) causes pervasive and progressive memory impairments, yet the specific circuit changes that drive these deficits remain unclear. …”
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Comparative effectiveness of physical activity interventions on cognitive functions in children and adolescents with Neurodevelopmental Disorders: a systematic review and network m... by Ruiyuan Tao, Yijian Yang, Mark Wilson, Jeremy R. Chang, Chang Liu, Cindy H. P. Sit

“…When analyzing specific NDD types, exergaming lost its superiority over usual care for attention and memory in ADHD, nor for executive functions in ASD. …”
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Protective Mechanism of Electroacupuncture Combined with Enriched Rehabilitative Training on Hippocampal Neurons in Rats with Cerebral Ischemia-Reperfusion Injury by Li GONG, Wei TANG, Zhen QIU, Mengxing LI

“…For the rats in the RT group and EA+RT group, an enriched environment was set up and they were involved in rehabilitative activities. The learning and memory abilities of rats were assessed by water maze test. …”
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Le Théâtre de la mort de Tadeusz Kantor : un « gué secret » entre les vivants et les morts by Virginie Lachaise

“…In the confined space of its Chamber of memory and imagination, the scene, the artist made a machine to view the past spring to the rhythm of ”heartbeat memory“ Children in tatters, the spectra of the family who do not allow themselves to forget, the scraps of old battles Cricot 2. …”
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Hauntological engagements: Visual redress at Stellenbosch University by Elmarie Costandius, Gera de Villiers, Leslie van Rooi

“…The VR project is not only interested in physically transforming the space, but also in facilitating critical dialogue and physical interventions to engage in spatial memory and emotional remembrance. In this article Hauntology is used as a methodology to remember and reflect on visual elements on the Stellenbosch campus of SU and how the memory of the past and the dead in the form of visual elements still haunts the present. …”
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Cooperative inference analysis based on DNN convolutional kernel partitioning by Jialin ZHI, Yinglei TENG, Xinyang ZHANG, Tao NIU, Mei SONG

“…With the popularity of intelligent chip in the application of edge terminal devices, a large number of AI applications will be deployed on the edge of networks closer to data sources in the future.The method based on DNN partition can realize deep learning model training and deployment on resource-constrained terminal devices, and solve the bottleneck problem of edge AI computing ability.Thekernel based partition method (KPM) was proposed as a new scheme on the basis of traditional workload based partition method (WPM).The quantitative analysis of inference performance was carried out from three aspects of computation FLOPS, memory consumption and communication cost respectively, and the qualitative analysis of the above two schemes was carried out from the perspective of flexibility, robustness and privacy of inference process.Finally, a software and hardware experimental platform was built, and AlexNet and VGG11 networks were implemented using PyTorch to further verify the performance advantages of the proposed scheme in terms of delay and energy consumption.It was concluded that, compared with the WPM scheme, the KPM scheme had better DNN reasoning acceleration effect in large-scale computing scenarios.And it has lower memory usage and energy consumption.…”
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Period-Doubling Bifurcation of Stochastic Fractional-Order Duffing System via Chebyshev Polynomial Approximation by Youming Lei, Yanyan Wang

“…Fractional-order calculus is more competent than integer-order one when modeling systems with properties of nonlocality and memory effect. And many real world problems related to uncertainties can be modeled with stochastic fractional-order systems with random parameters. …”
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Enhancing Stock Price Forecasting Accuracy Using LSTM and Bi-LSTM Models by Wang Hao

“…This research introduces an innovative approach to predicting stock prices, employing two sophisticated models: Long Short-Tenn Memory (LSTM) and Bidirectional Long Short-Tenn Memory (Bi-LSTM) networks. …”
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Compressing fully connected layers of deep neural networks using permuted features by Dara Nagaraju, Nitin Chandrachoodan

“…These stages have large memory requirements that can be expensive on resource‐constrained embedded devices and also consume significant energy just to read the parameters from external memory into the processing chip. …”
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Correction: Analysis of early effects of human APOE isoforms on Alzheimer’s disease and type III hyperlipoproteinemia pathways using knock-in rat models with humanized APP and APOE... by Metin Yesiltepe, Tao Yin, Marc Tambini, Hanmei Bao, Meixia Pan, Cristina d’Abramo, Luca Giliberto, Xianlin Han, Luciano D’Adamio

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Advanced Network Traffic Prediction Using Deep Learning Techniques: A Comparative Study of SVR, LSTM, GRU, and Bidirectional LSTM Models by Wang Yuxin

“…This study examines the effectiveness of four machine learning models—Support Vector Regression (SVR), Long Short-Term Memory (LSTM), Gated Recurrent Units (GRU), and Bidirectional Long Short-Term Memory (Bi-LSTM)—in forecasting traffic patterns using both web-based and real-world datasets. …”
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Using Stacks for Image Segmentation Based on Region Growing by V. Yu. Tsviatkou

“…A comparative assessment of the stack sizes required for image segmentation showed that using the FIFO stack is preferable to the LIFO stack and leads to significant memory savings.…”
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